摘要
针对目前火灾报警中存在的问题,提出了一种基于神经网络和D-S证据理论的多传感器数据融合技术,并通过模拟实际输入信号的仿真结果进行了证明.这种采用神经网络BP算法和D-S证据理论的多传感器数据融合技术,能够显著提高火灾的识别能力,有效降低火灾误报率.
According to the problems in fire alarm system,the paper proposed a multi-sensor data fusion technology based on neural network and theory of evidence,and gave the proving through the simulation result of input signal.The technology can greatly improve the fire discrimination capability,and reduce the false positive rate of fire effectively.Proposed a multisensor data fusion technology,which is based on neural network and D-S evidence theory,it thoroughly abstracts the data fusion technology.The simulated r...
出处
《河北工业大学学报》
CAS
北大核心
2010年第4期35-38,共4页
Journal of Hebei University of Technology